Tutorial Dataset Report

Dataset statistics

Number of variables	25
Number of observations	3953
Missing cells	1047
Missing cells (%)	1.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	772.2 KiB
Average record size in memory	200.0 B

Variable types

Categorical	15
Numeric	10

Alerts

`Name` has a high cardinality: 3682 distinct values	High cardinality
`Email ID` has a high cardinality: 3373 distinct values	High cardinality
`Dt_Applied` has a high cardinality: 3953 distinct values	High cardinality
`University` has a high cardinality: 3140 distinct values	High cardinality
`Zip Code` has a high cardinality: 615 distinct values	High cardinality
`Loan Amnt` is highly overall correlated with `Funded amnt inv` and 3 other fields	High correlation
`Funded amnt inv` is highly overall correlated with `Loan Amnt` and 2 other fields	High correlation
`Int Rate` is highly overall correlated with `TERM` and 2 other fields	High correlation
`INSTALLMENT` is highly overall correlated with `Loan Amnt` and 2 other fields	High correlation
`Total Paymnt` is highly overall correlated with `Loan Amnt` and 2 other fields	High correlation
`TERM` is highly overall correlated with `Loan Amnt` and 3 other fields	High correlation
`GRADE` is highly overall correlated with `Int Rate` and 2 other fields	High correlation
`Sub Grade` is highly overall correlated with `Int Rate` and 2 other fields	High correlation
`Pub Rec` is highly imbalanced (87.2%)	Imbalance
`Name` has 271 (6.9%) missing values	Missing
`Email ID` has 580 (14.7%) missing values	Missing
`Gender` has 78 (2.0%) missing values	Missing
`University` has 118 (3.0%) missing values	Missing
`Name` is uniformly distributed	Uniform
`Email ID` is uniformly distributed	Uniform
`Dt_Applied` is uniformly distributed	Uniform
`University` is uniformly distributed	Uniform
`Dt_Applied` has unique values	Unique
`Delinq 2Yrs` has 3628 (91.8%) zeros	Zeros
`Inq Last 6Mths` has 1822 (46.1%) zeros	Zeros
`Revol Bal` has 42 (1.1%) zeros	Zeros

Reproduction

Analysis started	2023-02-04 17:17:35.181190
Analysis finished	2023-02-04 17:17:52.695235
Duration	17.51 seconds
Software version	pandas-profiling vv3.6.2
Download configuration	config.json

Name
Categorical

HIGH CARDINALITY MISSING UNIFORM

Distinct	3682
Distinct (%)	100.0%
Missing	271
Missing (%)	6.9%
Memory size	31.0 KiB

Calley Giron	1
Glynnis Grinyakin	1
Taddeusz Gingold	1
Maighdiln Terrelly	1
Stacee Youtead	1
Other values (3677)	3677

Length

Max length	23
Median length	20
Mean length	14.032863
Min length	7

Characters and Unicode

Total characters	51669
Distinct characters	58
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3682 ?
Unique (%)	100.0%

Sample

1st row	Calley Giron
2nd row	Linus Stud
3rd row	Lorelle Ambage
4th row	Anna-diane Larrat
5th row	Gill Ruske

Common Values

Value	Count	Frequency (%)
Calley Giron	1	< 0.1%
Glynnis Grinyakin	1	< 0.1%
Taddeusz Gingold	1	< 0.1%
Maighdiln Terrelly	1	< 0.1%
Stacee Youtead	1	< 0.1%
Hanson McGuire	1	< 0.1%
Tucky Harty	1	< 0.1%
Roby Phuprate	1	< 0.1%
Shel Graver	1	< 0.1%
Janelle Curtain	1	< 0.1%
Other values (3672)	3672	92.9%
(Missing)	271	6.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	20	0.3%
le	6	0.1%
van	5	0.1%
dee	5	0.1%
imogen	4	0.1%
lianna	4	0.1%
nichols	4	0.1%
harley	4	0.1%
salomo	4	0.1%
camel	4	0.1%
Other values (6460)	7355	99.2%

Most occurring characters

Value	Count	Frequency (%)
e	5280	10.2%
a	4505	8.7%
	3733	7.2%
n	3525	6.8%
i	3500	6.8%
r	3444	6.7%
l	3183	6.2%
o	2704	5.2%
t	2023	3.9%
s	1723	3.3%
Other values (48)	18049	34.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	40336	78.1%
Uppercase Letter	7550	14.6%
Space Separator	3733	7.2%
Other Punctuation	35	0.1%
Dash Punctuation	14	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5280	13.1%
a	4505	11.2%
n	3525	8.7%
i	3500	8.7%
r	3444	8.5%
l	3183	7.9%
o	2704	6.7%
t	2023	5.0%
s	1723	4.3%
d	1395	3.5%
Other values (16)	9054	22.4%

Uppercase Letter

Value	Count	Frequency (%)
C	678	9.0%
M	600	7.9%
B	596	7.9%
S	573	7.6%
D	479	6.3%
A	451	6.0%
G	443	5.9%
R	400	5.3%
L	395	5.2%
H	326	4.3%
Other values (16)	2609	34.6%

Other Punctuation

Value	Count	Frequency (%)
'	32	91.4%
.	2	5.7%
;	1	2.9%

Space Separator

Value	Count	Frequency (%)
	3733	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	14	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47886	92.7%
Common	3783	7.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5280	11.0%
a	4505	9.4%
n	3525	7.4%
i	3500	7.3%
r	3444	7.2%
l	3183	6.6%
o	2704	5.6%
t	2023	4.2%
s	1723	3.6%
d	1395	2.9%
Other values (42)	16604	34.7%

Common

Value	Count	Frequency (%)
	3733	98.7%
'	32	0.8%
-	14	0.4%
.	2	0.1%
;	1	< 0.1%
]	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	51669	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	5280	10.2%
a	4505	8.7%
	3733	7.2%
n	3525	6.8%
i	3500	6.8%
r	3444	6.7%
l	3183	6.2%
o	2704	5.2%
t	2023	3.9%
s	1723	3.3%
Other values (48)	18049	34.9%

Email ID
Categorical

HIGH CARDINALITY MISSING UNIFORM

Distinct	3373
Distinct (%)	100.0%
Missing	580
Missing (%)	14.7%
Memory size	31.0 KiB

cgiron0@ehow.com	1
ptinerhr@csmonitor.com	1
lnickolshg@guardian.co.uk	1
egrestehh@liveinternet.ru	1
bfarebrotherhi@sun.com	1
Other values (3368)	3368

Length

Max length	35
Median length	31
Mean length	21.833086
Min length	11

Characters and Unicode

Total characters	73643
Distinct characters	39
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3373 ?
Unique (%)	100.0%

Sample

1st row	cgiron0@ehow.com
2nd row	lstud1@washington.edu
3rd row	lambage2@wix.com
4th row	alarrat3@economist.com
5th row	emacfaul5@theatlantic.com

Common Values

Value	Count	Frequency (%)
cgiron0@ehow.com	1	< 0.1%
ptinerhr@csmonitor.com	1	< 0.1%
lnickolshg@guardian.co.uk	1	< 0.1%
egrestehh@liveinternet.ru	1	< 0.1%
bfarebrotherhi@sun.com	1	< 0.1%
fesphj@google.fr	1	< 0.1%
rstrathearnhk@yahoo.co.jp	1	< 0.1%
ahanlonhl@hexun.com	1	< 0.1%
ccarehm@wikia.com	1	< 0.1%
hsuthernshn@sbwire.com	1	< 0.1%
Other values (3363)	3363	85.1%
(Missing)	580	14.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cgiron0@ehow.com	1	< 0.1%
jfleetwood1m@google.com	1	< 0.1%
aalens@slashdot.org	1	< 0.1%
swoollacottd@geocities.com	1	< 0.1%
lambage2@wix.com	1	< 0.1%
alarrat3@economist.com	1	< 0.1%
emacfaul5@theatlantic.com	1	< 0.1%
arainard6@virginia.edu	1	< 0.1%
ehamby7@prnewswire.com	1	< 0.1%
stoomer8@home.pl	1	< 0.1%
Other values (3363)	3363	99.7%

Most occurring characters

Value	Count	Frequency (%)
o	6259	8.5%
e	5765	7.8%
c	4676	6.3%
a	4491	6.1%
m	4076	5.5%
.	3699	5.0%
r	3657	5.0%
n	3612	4.9%
i	3589	4.9%
@	3373	4.6%
Other values (29)	30446	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	64215	87.2%
Other Punctuation	7072	9.6%
Decimal Number	2273	3.1%
Dash Punctuation	83	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	6259	9.7%
e	5765	9.0%
c	4676	7.3%
a	4491	7.0%
m	4076	6.3%
r	3657	5.7%
n	3612	5.6%
i	3589	5.6%
l	3340	5.2%
s	3154	4.9%
Other values (16)	21596	33.6%

Decimal Number

Value	Count	Frequency (%)
2	265	11.7%
3	260	11.4%
1	260	11.4%
4	243	10.7%
6	243	10.7%
8	239	10.5%
5	227	10.0%
9	215	9.5%
7	210	9.2%
0	111	4.9%

Other Punctuation

Value	Count	Frequency (%)
.	3699	52.3%
@	3373	47.7%

Dash Punctuation

Value	Count	Frequency (%)
-	83	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	64215	87.2%
Common	9428	12.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	6259	9.7%
e	5765	9.0%
c	4676	7.3%
a	4491	7.0%
m	4076	6.3%
r	3657	5.7%
n	3612	5.6%
i	3589	5.6%
l	3340	5.2%
s	3154	4.9%
Other values (16)	21596	33.6%

Common

Value	Count	Frequency (%)
.	3699	39.2%
@	3373	35.8%
2	265	2.8%
3	260	2.8%
1	260	2.8%
4	243	2.6%
6	243	2.6%
8	239	2.5%
5	227	2.4%
9	215	2.3%
Other values (3)	404	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	73643	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	6259	8.5%
e	5765	7.8%
c	4676	6.3%
a	4491	6.1%
m	4076	5.5%
.	3699	5.0%
r	3657	5.0%
n	3612	4.9%
i	3589	4.9%
@	3373	4.6%
Other values (29)	30446	41.3%

Gender
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	78
Missing (%)	2.0%
Memory size	31.0 KiB

Male	1970
Female	1905

Length

Max length	6
Median length	4
Mean length	4.9832258
Min length	4

Characters and Unicode

Total characters	19310
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Male
3rd row	Female
4th row	Female
5th row	Female

Common Values

Value	Count	Frequency (%)
Male	1970	49.8%
Female	1905	48.2%
(Missing)	78	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	1970	50.8%
female	1905	49.2%

Most occurring characters

Value	Count	Frequency (%)
e	5780	29.9%
a	3875	20.1%
l	3875	20.1%
M	1970	10.2%
F	1905	9.9%
m	1905	9.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15435	79.9%
Uppercase Letter	3875	20.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5780	37.4%
a	3875	25.1%
l	3875	25.1%
m	1905	12.3%

Uppercase Letter

Value	Count	Frequency (%)
M	1970	50.8%
F	1905	49.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19310	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5780	29.9%
a	3875	20.1%
l	3875	20.1%
M	1970	10.2%
F	1905	9.9%
m	1905	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19310	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	5780	29.9%
a	3875	20.1%
l	3875	20.1%
M	1970	10.2%
F	1905	9.9%
m	1905	9.9%

Dt_Applied
Categorical

HIGH CARDINALITY UNIFORM UNIQUE

Distinct	3953
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

01/01/81	1
12/03/88	1
14/03/88	1
15/03/88	1
16/03/88	1
Other values (3948)	3948

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	31624
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3953 ?
Unique (%)	100.0%

Sample

1st row	01/01/81
2nd row	02/01/81
3rd row	03/01/81
4th row	04/01/81
5th row	05/01/81

Common Values

Value	Count	Frequency (%)
01/01/81	1	< 0.1%
12/03/88	1	< 0.1%
14/03/88	1	< 0.1%
15/03/88	1	< 0.1%
16/03/88	1	< 0.1%
17/03/88	1	< 0.1%
18/03/88	1	< 0.1%
19/03/88	1	< 0.1%
20/03/88	1	< 0.1%
21/03/88	1	< 0.1%
Other values (3943)	3943	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
01/01/81	1	< 0.1%
31/01/81	1	< 0.1%
30/01/81	1	< 0.1%
03/01/81	1	< 0.1%
04/01/81	1	< 0.1%
05/01/81	1	< 0.1%
06/01/81	1	< 0.1%
07/01/81	1	< 0.1%
08/01/81	1	< 0.1%
09/01/81	1	< 0.1%
Other values (3943)	3943	99.7%

Most occurring characters

Value	Count	Frequency (%)
/	7906	25.0%
0	5259	16.6%
8	4381	13.9%
1	4020	12.7%
2	2664	8.4%
9	1744	5.5%
3	1288	4.1%
5	1096	3.5%
7	1096	3.5%
4	1085	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	23718	75.0%
Other Punctuation	7906	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5259	22.2%
8	4381	18.5%
1	4020	16.9%
2	2664	11.2%
9	1744	7.4%
3	1288	5.4%
5	1096	4.6%
7	1096	4.6%
4	1085	4.6%
6	1085	4.6%

Other Punctuation

Value	Count	Frequency (%)
/	7906	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	31624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	7906	25.0%
0	5259	16.6%
8	4381	13.9%
1	4020	12.7%
2	2664	8.4%
9	1744	5.5%
3	1288	4.1%
5	1096	3.5%
7	1096	3.5%
4	1085	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	7906	25.0%
0	5259	16.6%
8	4381	13.9%
1	4020	12.7%
2	2664	8.4%
9	1744	5.5%
3	1288	4.1%
5	1096	3.5%
7	1096	3.5%
4	1085	3.4%

University
Categorical

HIGH CARDINALITY MISSING UNIFORM

Distinct	3140
Distinct (%)	81.9%
Missing	118
Missing (%)	3.0%
Memory size	31.0 KiB

Abant Izzet Baysal University	4
Jiangxi University of Traditional Chinese Medicine	4
Fukuoka Institute of Technology	4
Tampere Polytechnic	4
Phillips Graduate Institute	4
Other values (3135)	3815

Length

Max length	114
Median length	72
Mean length	30.491525
Min length	11

Characters and Unicode

Total characters	116935
Distinct characters	98
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2542 ?
Unique (%)	66.3%

Sample

1st row	Warner Southern College
2nd row	Shri Lal Bahadur Shastri Rashtriya Sanskrit Vidyapeetha
3rd row	Technische Universität Bergakademie Freiberg
4th row	Divine Word College of Legazpi
5th row	East China Jiao Tong University

Common Values

Value	Count	Frequency (%)
Abant Izzet Baysal University	4	0.1%
Jiangxi University of Traditional Chinese Medicine	4	0.1%
Fukuoka Institute of Technology	4	0.1%
Tampere Polytechnic	4	0.1%
Phillips Graduate Institute	4	0.1%
Stavropol State Technical University	4	0.1%
Christchurch Polytechnic Institute of Technology	4	0.1%
Universidad Tecnológica de México	4	0.1%
Carlow College	4	0.1%
Universidad de Congreso	4	0.1%
Other values (3130)	3795	96.0%
(Missing)	118	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
university	2142	14.3%
of	1144	7.6%
college	544	3.6%
de	397	2.7%
universidad	307	2.0%
state	274	1.8%
institute	220	1.5%
and	197	1.3%
technology	195	1.3%
	113	0.8%
Other values (3562)	9447	63.1%

Most occurring characters

Value	Count	Frequency (%)
	11198	9.6%
i	10758	9.2%
e	10464	8.9%
n	8336	7.1%
a	7981	6.8%
t	6906	5.9%
r	6300	5.4%
o	6107	5.2%
s	5789	5.0%
l	4376	3.7%
Other values (88)	38720	33.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	91706	78.4%
Uppercase Letter	13156	11.3%
Space Separator	11198	9.6%
Other Punctuation	508	0.4%
Dash Punctuation	186	0.2%
Open Punctuation	79	0.1%
Close Punctuation	79	0.1%
Decimal Number	19	< 0.1%
Control	2	< 0.1%
Initial Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	10758	11.7%
e	10464	11.4%
n	8336	9.1%
a	7981	8.7%
t	6906	7.5%
r	6300	6.9%
o	6107	6.7%
s	5789	6.3%
l	4376	4.8%
y	3155	3.4%
Other values (37)	21534	23.5%

Uppercase Letter

Value	Count	Frequency (%)
U	2851	21.7%
S	1352	10.3%
C	1236	9.4%
A	857	6.5%
M	785	6.0%
T	762	5.8%
I	708	5.4%
N	522	4.0%
P	492	3.7%
B	422	3.2%
Other values (19)	3169	24.1%

Decimal Number

Value	Count	Frequency (%)
1	7	36.8%
7	3	15.8%
4	2	10.5%
5	2	10.5%
9	2	10.5%
8	1	5.3%
3	1	5.3%
2	1	5.3%

Other Punctuation

Value	Count	Frequency (%)
,	200	39.4%
.	106	20.9%
'	91	17.9%
"	62	12.2%
&	35	6.9%
/	14	2.8%

Control

Value	Count	Frequency (%)
	1	50.0%
	1	50.0%

Space Separator

Value	Count	Frequency (%)
	11198	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	186	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	79	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	79	100.0%

Initial Punctuation

Value	Count	Frequency (%)
“	1	100.0%

Final Punctuation

Value	Count	Frequency (%)
”	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	104862	89.7%
Common	12073	10.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	10758	10.3%
e	10464	10.0%
n	8336	7.9%
a	7981	7.6%
t	6906	6.6%
r	6300	6.0%
o	6107	5.8%
s	5789	5.5%
l	4376	4.2%
y	3155	3.0%
Other values (66)	34690	33.1%

Common

Value	Count	Frequency (%)
	11198	92.8%
,	200	1.7%
-	186	1.5%
.	106	0.9%
'	91	0.8%
(	79	0.7%
)	79	0.7%
"	62	0.5%
&	35	0.3%
/	14	0.1%
Other values (12)	23	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	116357	99.5%
None	576	0.5%
Punctuation	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	11198	9.6%
i	10758	9.2%
e	10464	9.0%
n	8336	7.2%
a	7981	6.9%
t	6906	5.9%
r	6300	5.4%
o	6107	5.2%
s	5789	5.0%
l	4376	3.8%
Other values (60)	38142	32.8%

None

Value	Count	Frequency (%)
é	211	36.6%
ó	90	15.6%
ä	65	11.3%
ü	59	10.2%
á	43	7.5%
í	33	5.7%
è	11	1.9%
ñ	9	1.6%
ç	9	1.6%
ã	8	1.4%
Other values (16)	38	6.6%

Punctuation

Value	Count	Frequency (%)
“	1	50.0%
”	1	50.0%

Loan Amnt
Real number (ℝ)

Distinct	434
Distinct (%)	11.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13017.499

Minimum	1000
Maximum	35000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.0 KiB

Quantile statistics

Minimum	1000
5-th percentile	3000
Q1	6500
median	12000
Q3	17625
95-th percentile	30000
Maximum	35000
Range	34000
Interquartile range (IQR)	11125

Descriptive statistics

Standard deviation	8155.3303
Coefficient of variation (CV)	0.62648978
Kurtosis	0.32585321
Mean	13017.499
Median Absolute Deviation (MAD)	5500
Skewness	0.92331288
Sum	51458175
Variance	66509413
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12000	315	8.0%
10000	259	6.6%
15000	190	4.8%
20000	174	4.4%
6000	165	4.2%
5000	153	3.9%
35000	143	3.6%
8000	124	3.1%
16000	99	2.5%
25000	97	2.5%
Other values (424)	2234	56.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1000	21	0.5%
1100	1	< 0.1%
1200	9	0.2%
1300	2	0.1%
1325	1	< 0.1%
1400	3	0.1%
1450	2	0.1%
1500	11	0.3%
1600	6	0.2%
1700	1	< 0.1%

Value	Count	Frequency (%)
35000	143	3.6%
34475	1	< 0.1%
34000	2	0.1%
33950	1	< 0.1%
33600	2	0.1%
33425	1	< 0.1%
33000	1	< 0.1%
32875	1	< 0.1%
32275	1	< 0.1%
32000	3	0.1%

Funded amnt inv
Real number (ℝ)

Distinct	828
Distinct (%)	20.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12809.792

Minimum	750
Maximum	35000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.0 KiB

Quantile statistics

Minimum	750
5-th percentile	3000
Q1	6500
median	11775
Q3	17000
95-th percentile	29735
Maximum	35000
Range	34250
Interquartile range (IQR)	10500

Descriptive statistics

Standard deviation	7935.9077
Coefficient of variation (CV)	0.61951885
Kurtosis	0.39513707
Mean	12809.792
Median Absolute Deviation (MAD)	5275
Skewness	0.92631719
Sum	50637108
Variance	62978631
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12000	249	6.3%
10000	222	5.6%
6000	153	3.9%
5000	143	3.6%
15000	139	3.5%
8000	113	2.9%
7000	87	2.2%
3000	74	1.9%
20000	72	1.8%
14000	64	1.6%
Other values (818)	2637	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
750	1	< 0.1%
1000	20	0.5%
1100	1	< 0.1%
1200	9	0.2%
1300	2	0.1%
1325	1	< 0.1%
1400	3	0.1%
1450	2	0.1%
1500	11	0.3%
1600	6	0.2%

Value	Count	Frequency (%)
35000	37	0.9%
34997.35245	1	< 0.1%
34993.65539	1	< 0.1%
34987.98452	1	< 0.1%
34987.27101	1	< 0.1%
34977.34674	1	< 0.1%
34975.81636	1	< 0.1%
34975	14	0.4%
34972.8295	1	< 0.1%
34972.50393	1	< 0.1%

TERM
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

36 months	2687
60 months	1266

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	39530
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	36 months
2nd row	60 months
3rd row	36 months
4th row	36 months
5th row	60 months

Common Values

Value	Count	Frequency (%)
36 months	2687	68.0%
60 months	1266	32.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
months	3953	50.0%
36	2687	34.0%
60	1266	16.0%

Most occurring characters

Value	Count	Frequency (%)
	7906	20.0%
6	3953	10.0%
m	3953	10.0%
o	3953	10.0%
n	3953	10.0%
t	3953	10.0%
h	3953	10.0%
s	3953	10.0%
3	2687	6.8%
0	1266	3.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23718	60.0%
Space Separator	7906	20.0%
Decimal Number	7906	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	3953	16.7%
o	3953	16.7%
n	3953	16.7%
t	3953	16.7%
h	3953	16.7%
s	3953	16.7%

Decimal Number

Value	Count	Frequency (%)
6	3953	50.0%
3	2687	34.0%
0	1266	16.0%

Space Separator

Value	Count	Frequency (%)
	7906	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23718	60.0%
Common	15812	40.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	3953	16.7%
o	3953	16.7%
n	3953	16.7%
t	3953	16.7%
h	3953	16.7%
s	3953	16.7%

Common

Value	Count	Frequency (%)
	7906	50.0%
6	3953	25.0%
3	2687	17.0%
0	1266	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39530	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	7906	20.0%
6	3953	10.0%
m	3953	10.0%
o	3953	10.0%
n	3953	10.0%
t	3953	10.0%
h	3953	10.0%
s	3953	10.0%
3	2687	6.8%
0	1266	3.2%

Int Rate
Real number (ℝ)

Distinct	35
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.12969087

Minimum	0.06
Maximum	0.241
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.0 KiB

Quantile statistics

Minimum	0.06
5-th percentile	0.066
Q1	0.099
median	0.127
Q3	0.16
95-th percentile	0.203
Maximum	0.241
Range	0.181
Interquartile range (IQR)	0.061

Descriptive statistics

Standard deviation	0.041609315
Coefficient of variation (CV)	0.32083458
Kurtosis	-0.69519246
Mean	0.12969087
Median Absolute Deviation (MAD)	0.033
Skewness	0.22641622
Sum	512.668
Variance	0.0017313351
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
0.117	324	8.2%
0.127	259	6.6%
0.079	259	6.6%
0.124	254	6.4%
0.135	231	5.8%
0.143	226	5.7%
0.107	213	5.4%
0.099	211	5.3%
0.089	198	5.0%
0.06	160	4.0%
Other values (25)	1618	40.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.06	160	4.0%
0.066	156	3.9%
0.075	137	3.5%
0.079	259	6.6%
0.089	198	5.0%
0.099	211	5.3%
0.107	213	5.4%
0.117	324	8.2%
0.124	254	6.4%
0.127	259	6.6%

Value	Count	Frequency (%)
0.241	2	0.1%
0.239	6	0.2%
0.235	6	0.2%
0.231	4	0.1%
0.227	6	0.2%
0.224	15	0.4%
0.221	19	0.5%
0.217	24	0.6%
0.213	28	0.7%
0.209	39	1.0%

INSTALLMENT
Real number (ℝ)

Distinct	1923
Distinct (%)	48.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	375.20734

Minimum	32.23
Maximum	1283.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.0 KiB

Quantile statistics

Minimum	32.23
5-th percentile	93.88
Q1	205.86
median	336
Q3	494.59
95-th percentile	813.626
Maximum	1283.5
Range	1251.27
Interquartile range (IQR)	288.73

Descriptive statistics

Standard deviation	220.26115
Coefficient of variation (CV)	0.5870385
Kurtosis	0.89008542
Mean	375.20734
Median Absolute Deviation (MAD)	140.06
Skewness	0.98371682
Sum	1483194.6
Variance	48514.975
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
330.76	27	0.7%
396.92	25	0.6%
325.74	22	0.6%
386.7	21	0.5%
339.31	20	0.5%
334.16	19	0.5%
322.25	19	0.5%
343.09	18	0.5%
190.52	18	0.5%
368.45	17	0.4%
Other values (1913)	3747	94.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
32.23	1	< 0.1%
32.58	2	0.1%
33.08	2	0.1%
33.55	1	< 0.1%
33.94	3	0.1%
34.31	1	< 0.1%
34.5	3	0.1%
34.8	2	0.1%
35.14	1	< 0.1%
35.31	4	0.1%

Value	Count	Frequency (%)
1283.5	1	< 0.1%
1276.6	1	< 0.1%
1269.73	1	< 0.1%
1243.85	1	< 0.1%
1222.03	1	< 0.1%
1203.66	1	< 0.1%
1200.82	2	0.1%
1157.66	1	< 0.1%
1142.94	1	< 0.1%
1140.07	5	0.1%

GRADE
Categorical

Distinct	7
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

B	1262
A	908
C	811
D	510
E	313
Other values (2)	149

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3953
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B
2nd row	C
3rd row	C
4th row	C
5th row	B

Common Values

Value	Count	Frequency (%)
B	1262	31.9%
A	908	23.0%
C	811	20.5%
D	510	12.9%
E	313	7.9%
F	125	3.2%
G	24	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
b	1262	31.9%
a	908	23.0%
c	811	20.5%
d	510	12.9%
e	313	7.9%
f	125	3.2%
g	24	0.6%

Most occurring characters

Value	Count	Frequency (%)
B	1262	31.9%
A	908	23.0%
C	811	20.5%
D	510	12.9%
E	313	7.9%
F	125	3.2%
G	24	0.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	3953	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	1262	31.9%
A	908	23.0%
C	811	20.5%
D	510	12.9%
E	313	7.9%
F	125	3.2%
G	24	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3953	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	1262	31.9%
A	908	23.0%
C	811	20.5%
D	510	12.9%
E	313	7.9%
F	125	3.2%
G	24	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3953	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	1262	31.9%
A	908	23.0%
C	811	20.5%
D	510	12.9%
E	313	7.9%
F	125	3.2%
G	24	0.6%

Sub Grade
Categorical

Distinct	35
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

B3	324
B5	260
A4	259
B4	254
C1	231
Other values (30)	2625

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	7906
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B2
2nd row	C4
3rd row	C5
4th row	C1
5th row	B5

Common Values

Value	Count	Frequency (%)
B3	324	8.2%
B5	260	6.6%
A4	259	6.6%
B4	254	6.4%
C1	231	5.8%
C2	227	5.7%
B2	213	5.4%
B1	211	5.3%
A5	198	5.0%
A1	158	4.0%
Other values (25)	1618	40.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
b3	324	8.2%
b5	260	6.6%
a4	259	6.6%
b4	254	6.4%
c1	231	5.8%
c2	227	5.7%
b2	213	5.4%
b1	211	5.3%
a5	198	5.0%
a1	158	4.0%
Other values (25)	1618	40.9%

Most occurring characters

Value	Count	Frequency (%)
B	1262	16.0%
A	908	11.5%
2	832	10.5%
C	811	10.3%
4	806	10.2%
3	803	10.2%
1	797	10.1%
5	715	9.0%
D	510	6.5%
E	313	4.0%
Other values (2)	149	1.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	3953	50.0%
Decimal Number	3953	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	1262	31.9%
A	908	23.0%
C	811	20.5%
D	510	12.9%
E	313	7.9%
F	125	3.2%
G	24	0.6%

Decimal Number

Value	Count	Frequency (%)
2	832	21.0%
4	806	20.4%
3	803	20.3%
1	797	20.2%
5	715	18.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3953	50.0%
Common	3953	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	1262	31.9%
A	908	23.0%
C	811	20.5%
D	510	12.9%
E	313	7.9%
F	125	3.2%
G	24	0.6%

Common

Value	Count	Frequency (%)
2	832	21.0%
4	806	20.4%
3	803	20.3%
1	797	20.2%
5	715	18.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7906	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	1262	16.0%
A	908	11.5%
2	832	10.5%
C	811	10.3%
4	806	10.2%
3	803	10.2%
1	797	10.1%
5	715	9.0%
D	510	6.5%
E	313	4.0%
Other values (2)	149	1.9%

Home Ownership
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

RENT	2081
MORTGAGE	1577
OWN	295

Length

Max length	8
Median length	4
Mean length	5.5211232
Min length	3

Characters and Unicode

Total characters	21825
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RENT
2nd row	RENT
3rd row	RENT
4th row	RENT
5th row	RENT

Common Values

Value	Count	Frequency (%)
RENT	2081	52.6%
MORTGAGE	1577	39.9%
OWN	295	7.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rent	2081	52.6%
mortgage	1577	39.9%
own	295	7.5%

Most occurring characters

Value	Count	Frequency (%)
R	3658	16.8%
E	3658	16.8%
T	3658	16.8%
G	3154	14.5%
N	2376	10.9%
O	1872	8.6%
M	1577	7.2%
A	1577	7.2%
W	295	1.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	21825	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	3658	16.8%
E	3658	16.8%
T	3658	16.8%
G	3154	14.5%
N	2376	10.9%
O	1872	8.6%
M	1577	7.2%
A	1577	7.2%
W	295	1.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21825	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	3658	16.8%
E	3658	16.8%
T	3658	16.8%
G	3154	14.5%
N	2376	10.9%
O	1872	8.6%
M	1577	7.2%
A	1577	7.2%
W	295	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21825	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	3658	16.8%
E	3658	16.8%
T	3658	16.8%
G	3154	14.5%
N	2376	10.9%
O	1872	8.6%
M	1577	7.2%
A	1577	7.2%
W	295	1.4%

Annual Inc
Real number (ℝ)

Distinct	813
Distinct (%)	20.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	66175.974

Minimum	8280
Maximum	550000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.0 KiB

Quantile statistics

Minimum	8280
5-th percentile	25000
Q1	40100
median	57000
Q3	80000
95-th percentile	135880
Maximum	550000
Range	541720
Interquartile range (IQR)	39900

Descriptive statistics

Standard deviation	40498.804
Coefficient of variation (CV)	0.61198653
Kurtosis	18.714261
Mean	66175.974
Median Absolute Deviation (MAD)	18000
Skewness	3.0582009
Sum	2.6159362 × 10⁸
Variance	1.6401531 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60000	154	3.9%
50000	149	3.8%
40000	120	3.0%
75000	120	3.0%
45000	114	2.9%
70000	96	2.4%
80000	93	2.4%
30000	93	2.4%
65000	88	2.2%
35000	82	2.1%
Other values (803)	2844	71.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8280	1	< 0.1%
8400	1	< 0.1%
9600	1	< 0.1%
9960	1	< 0.1%
10000	1	< 0.1%
11000	1	< 0.1%
11340	1	< 0.1%
11820	1	< 0.1%
12000	8	0.2%
12252	1	< 0.1%

Value	Count	Frequency (%)
550000	1	< 0.1%
525000	1	< 0.1%
408000	1	< 0.1%
400000	2	0.1%
365000	1	< 0.1%
350000	1	< 0.1%
325000	1	< 0.1%
300000	5	0.1%
290000	1	< 0.1%
281000	1	< 0.1%

Verification Status
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

Verified	1515
Not Verified	1247
Source Verified	1191

Length

Max length	15
Median length	12
Mean length	11.370858
Min length	8

Characters and Unicode

Total characters	44949
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Verified
2nd row	Source Verified
3rd row	Not Verified
4th row	Source Verified
5th row	Source Verified

Common Values

Value	Count	Frequency (%)
Verified	1515	38.3%
Not Verified	1247	31.5%
Source Verified	1191	30.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
verified	3953	61.9%
not	1247	19.5%
source	1191	18.6%

Most occurring characters

Value	Count	Frequency (%)
e	9097	20.2%
i	7906	17.6%
r	5144	11.4%
V	3953	8.8%
f	3953	8.8%
d	3953	8.8%
o	2438	5.4%
	2438	5.4%
N	1247	2.8%
t	1247	2.8%
Other values (3)	3573	7.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	36120	80.4%
Uppercase Letter	6391	14.2%
Space Separator	2438	5.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	9097	25.2%
i	7906	21.9%
r	5144	14.2%
f	3953	10.9%
d	3953	10.9%
o	2438	6.7%
t	1247	3.5%
u	1191	3.3%
c	1191	3.3%

Uppercase Letter

Value	Count	Frequency (%)
V	3953	61.9%
N	1247	19.5%
S	1191	18.6%

Space Separator

Value	Count	Frequency (%)
	2438	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	42511	94.6%
Common	2438	5.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	9097	21.4%
i	7906	18.6%
r	5144	12.1%
V	3953	9.3%
f	3953	9.3%
d	3953	9.3%
o	2438	5.7%
N	1247	2.9%
t	1247	2.9%
S	1191	2.8%
Other values (2)	2382	5.6%

Common

Value	Count	Frequency (%)
	2438	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44949	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	9097	20.2%
i	7906	17.6%
r	5144	11.4%
V	3953	8.8%
f	3953	8.8%
d	3953	8.8%
o	2438	5.4%
	2438	5.4%
N	1247	2.8%
t	1247	2.8%
Other values (3)	3573	7.9%

Loan Writeoff
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

0	3275
1	678

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3953
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3275	82.8%
1	678	17.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3275	82.8%
1	678	17.2%

Most occurring characters

Value	Count	Frequency (%)
0	3275	82.8%
1	678	17.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3953	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3275	82.8%
1	678	17.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3953	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3275	82.8%
1	678	17.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3953	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3275	82.8%
1	678	17.2%

PURPOSE
Categorical

Distinct	13
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

debt_consolidation	2102
credit_card	792
other	297
home_improvement	196
small_business	145
Other values (8)	421

Length

Max length	18
Median length	18
Mean length	14.283076
Min length	3

Characters and Unicode

Total characters	56461
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	credit_card
2nd row	car
3rd row	small_business
4th row	other
5th row	other

Common Values

Value	Count	Frequency (%)
debt_consolidation	2102	53.2%
credit_card	792	20.0%
other	297	7.5%
home_improvement	196	5.0%
small_business	145	3.7%
major_purchase	100	2.5%
car	90	2.3%
wedding	63	1.6%
medical	52	1.3%
moving	39	1.0%
Other values (3)	77	1.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
debt_consolidation	2102	53.2%
credit_card	792	20.0%
other	297	7.5%
home_improvement	196	5.0%
small_business	145	3.7%
major_purchase	100	2.5%
car	90	2.3%
wedding	63	1.6%
medical	52	1.3%
moving	39	1.0%
Other values (3)	77	1.9%

Most occurring characters

Value	Count	Frequency (%)
o	7205	12.8%
d	5966	10.6%
i	5525	9.8%
t	5523	9.8%
n	4693	8.3%
e	4206	7.4%
c	3962	7.0%
a	3455	6.1%
_	3341	5.9%
s	2819	5.0%
Other values (12)	9766	17.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	53120	94.1%
Connector Punctuation	3341	5.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	7205	13.6%
d	5966	11.2%
i	5525	10.4%
t	5523	10.4%
n	4693	8.8%
e	4206	7.9%
c	3962	7.5%
a	3455	6.5%
s	2819	5.3%
l	2450	4.6%
Other values (11)	7316	13.8%

Connector Punctuation

Value	Count	Frequency (%)
_	3341	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	53120	94.1%
Common	3341	5.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	7205	13.6%
d	5966	11.2%
i	5525	10.4%
t	5523	10.4%
n	4693	8.8%
e	4206	7.9%
c	3962	7.5%
a	3455	6.5%
s	2819	5.3%
l	2450	4.6%
Other values (11)	7316	13.8%

Common

Value	Count	Frequency (%)
_	3341	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	56461	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	7205	12.8%
d	5966	10.6%
i	5525	9.8%
t	5523	9.8%
n	4693	8.3%
e	4206	7.4%
c	3962	7.0%
a	3455	6.1%
_	3341	5.9%
s	2819	5.0%
Other values (12)	9766	17.3%

Zip Code
Categorical

Distinct	615
Distinct (%)	15.6%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

606xx	55
900xx	55
100xx	54
112xx	50
945xx	49
Other values (610)	3690

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	19765
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	148 ?
Unique (%)	3.7%

Sample

1st row	860xx
2nd row	309xx
3rd row	606xx
4th row	917xx
5th row	972xx

Common Values

Value	Count	Frequency (%)
606xx	55	1.4%
900xx	55	1.4%
100xx	54	1.4%
112xx	50	1.3%
945xx	49	1.2%
070xx	45	1.1%
331xx	44	1.1%
750xx	41	1.0%
300xx	41	1.0%
113xx	40	1.0%
Other values (605)	3479	88.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
606xx	55	1.4%
900xx	55	1.4%
100xx	54	1.4%
112xx	50	1.3%
945xx	49	1.2%
070xx	45	1.1%
331xx	44	1.1%
750xx	41	1.0%
300xx	41	1.0%
113xx	40	1.0%
Other values (605)	3479	88.0%

Most occurring characters

Value	Count	Frequency (%)
x	7906	40.0%
0	1903	9.6%
1	1535	7.8%
9	1309	6.6%
2	1309	6.6%
3	1269	6.4%
7	1023	5.2%
5	924	4.7%
4	914	4.6%
8	855	4.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11859	60.0%
Lowercase Letter	7906	40.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1903	16.0%
1	1535	12.9%
9	1309	11.0%
2	1309	11.0%
3	1269	10.7%
7	1023	8.6%
5	924	7.8%
4	914	7.7%
8	855	7.2%
6	818	6.9%

Lowercase Letter

Value	Count	Frequency (%)
x	7906	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11859	60.0%
Latin	7906	40.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1903	16.0%
1	1535	12.9%
9	1309	11.0%
2	1309	11.0%
3	1269	10.7%
7	1023	8.6%
5	924	7.8%
4	914	7.7%
8	855	7.2%
6	818	6.9%

Latin

Value	Count	Frequency (%)
x	7906	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19765	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
x	7906	40.0%
0	1903	9.6%
1	1535	7.8%
9	1309	6.6%
2	1309	6.6%
3	1269	6.4%
7	1023	5.2%
5	924	4.7%
4	914	4.6%
8	855	4.3%

Add State
Categorical

Distinct	43
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

CA	729
NY	372
FL	304
TX	273
NJ	181
Other values (38)	2094

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	7906
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AZ
2nd row	GA
3rd row	IL
4th row	CA
5th row	OR

Common Values

Value	Count	Frequency (%)
CA	729	18.4%
NY	372	9.4%
FL	304	7.7%
TX	273	6.9%
NJ	181	4.6%
IL	155	3.9%
GA	146	3.7%
PA	136	3.4%
VA	130	3.3%
OH	124	3.1%
Other values (33)	1403	35.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ca	729	18.4%
ny	372	9.4%
fl	304	7.7%
tx	273	6.9%
nj	181	4.6%
il	155	3.9%
ga	146	3.7%
pa	136	3.4%
va	130	3.3%
oh	124	3.1%
Other values (33)	1403	35.5%

Most occurring characters

Value	Count	Frequency (%)
A	1557	19.7%
C	1032	13.1%
N	803	10.2%
L	537	6.8%
M	413	5.2%
Y	407	5.1%
T	394	5.0%
O	353	4.5%
I	309	3.9%
F	304	3.8%
Other values (14)	1797	22.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	7906	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	1557	19.7%
C	1032	13.1%
N	803	10.2%
L	537	6.8%
M	413	5.2%
Y	407	5.1%
T	394	5.0%
O	353	4.5%
I	309	3.9%
F	304	3.8%
Other values (14)	1797	22.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7906	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	1557	19.7%
C	1032	13.1%
N	803	10.2%
L	537	6.8%
M	413	5.2%
Y	407	5.1%
T	394	5.0%
O	353	4.5%
I	309	3.9%
F	304	3.8%
Other values (14)	1797	22.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7906	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	1557	19.7%
C	1032	13.1%
N	803	10.2%
L	537	6.8%
M	413	5.2%
Y	407	5.1%
T	394	5.0%
O	353	4.5%
I	309	3.9%
F	304	3.8%
Other values (14)	1797	22.7%

DTI
Real number (ℝ)

Distinct	1961
Distinct (%)	49.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.428287

Minimum	0
Maximum	29.85
Zeros	3
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	31.0 KiB

Quantile statistics

Minimum	0
5-th percentile	3.932
Q1	9.58
median	14.45
Q3	19.47
95-th percentile	24.214
Maximum	29.85
Range	29.85
Interquartile range (IQR)	9.89

Descriptive statistics

Standard deviation	6.3784458
Coefficient of variation (CV)	0.4420792
Kurtosis	-0.77034208
Mean	14.428287
Median Absolute Deviation (MAD)	4.94
Skewness	-0.049035658
Sum	57035.02
Variance	40.68457
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11.8	9	0.2%
18.63	8	0.2%
20.88	8	0.2%
17.67	7	0.2%
16.4	7	0.2%
12.48	7	0.2%
9.65	7	0.2%
18.84	7	0.2%
19.63	7	0.2%
16.2	7	0.2%
Other values (1951)	3879	98.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	0.1%
0.02	2	0.1%
0.07	1	< 0.1%
0.2	1	< 0.1%
0.25	1	< 0.1%
0.32	2	0.1%
0.34	1	< 0.1%
0.41	1	< 0.1%
0.55	1	< 0.1%
0.57	1	< 0.1%

Value	Count	Frequency (%)
29.85	1	< 0.1%
29.83	1	< 0.1%
29.73	1	< 0.1%
29.72	1	< 0.1%
29.63	1	< 0.1%
29.44	2	0.1%
29.36	1	< 0.1%
29.35	1	< 0.1%
29.29	1	< 0.1%
29.26	1	< 0.1%

Delinq 2Yrs
Real number (ℝ)

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.10852517

Minimum	0
Maximum	6
Zeros	3628
Zeros (%)	91.8%
Negative	0
Negative (%)	0.0%
Memory size	31.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.40879832
Coefficient of variation (CV)	3.7668526
Kurtosis	32.998701
Mean	0.10852517
Median Absolute Deviation (MAD)	0
Skewness	4.9542972
Sum	429
Variance	0.16711607
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	3628	91.8%
1	246	6.2%
2	61	1.5%
3	13	0.3%
4	4	0.1%
6	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3628	91.8%
1	246	6.2%
2	61	1.5%
3	13	0.3%
4	4	0.1%
6	1	< 0.1%

Value	Count	Frequency (%)
6	1	< 0.1%
4	4	0.1%
3	13	0.3%
2	61	1.5%
1	246	6.2%
0	3628	91.8%

Inq Last 6Mths
Real number (ℝ)

Distinct	9
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.85555274

Minimum	0
Maximum	8
Zeros	1822
Zeros (%)	46.1%
Negative	0
Negative (%)	0.0%
Memory size	31.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	3
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.99702501
Coefficient of variation (CV)	1.1653577
Kurtosis	2.1636893
Mean	0.85555274
Median Absolute Deviation (MAD)	1
Skewness	1.2652602
Sum	3382
Variance	0.99405886
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	1822	46.1%
1	1245	31.5%
2	584	14.8%
3	265	6.7%
4	21	0.5%
5	10	0.3%
6	3	0.1%
7	2	0.1%
8	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1822	46.1%
1	1245	31.5%
2	584	14.8%
3	265	6.7%
4	21	0.5%
5	10	0.3%
6	3	0.1%
7	2	0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
7	2	0.1%
6	3	0.1%
5	10	0.3%
4	21	0.5%
3	265	6.7%
2	584	14.8%
1	1245	31.5%
0	1822	46.1%

Pub Rec
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.0 KiB

0	3831
1	120
2	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3953
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3831	96.9%
1	120	3.0%
2	2	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3831	96.9%
1	120	3.0%
2	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3831	96.9%
1	120	3.0%
2	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3953	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3831	96.9%
1	120	3.0%
2	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3953	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3831	96.9%
1	120	3.0%
2	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3953	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3831	96.9%
1	120	3.0%
2	2	0.1%

Revol Bal
Real number (ℝ)

Distinct	3672
Distinct (%)	92.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14367.448

Minimum	0
Maximum	140967
Zeros	42
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	31.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1240.4
Q1	6352
median	11449
Q3	18151
95-th percentile	35148.4
Maximum	140967
Range	140967
Interquartile range (IQR)	11799

Descriptive statistics

Standard deviation	13468.635
Coefficient of variation (CV)	0.93744101
Kurtosis	18.01765
Mean	14367.448
Median Absolute Deviation (MAD)	5657
Skewness	3.3220358
Sum	56794520
Variance	1.8140412 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	42	1.1%
6565	3	0.1%
18467	3	0.1%
10078	3	0.1%
10980	3	0.1%
11338	3	0.1%
8032	3	0.1%
15183	3	0.1%
13034	3	0.1%
6314	3	0.1%
Other values (3662)	3884	98.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	42	1.1%
3	1	< 0.1%
6	1	< 0.1%
8	1	< 0.1%
16	1	< 0.1%
25	1	< 0.1%
33	1	< 0.1%
41	2	0.1%
50	1	< 0.1%
62	1	< 0.1%

Value	Count	Frequency (%)
140967	1	< 0.1%
131949	1	< 0.1%
130920	1	< 0.1%
124744	1	< 0.1%
123416	1	< 0.1%
120504	1	< 0.1%
112522	1	< 0.1%
110856	1	< 0.1%
108339	1	< 0.1%
106406	1	< 0.1%

Total Paymnt
Real number (ℝ)

Distinct	3710
Distinct (%)	93.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14435.064

Minimum	0
Maximum	58886.473
Zeros	2
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	31.0 KiB

Quantile statistics

Minimum	0
5-th percentile	2401.064
Q1	6614.7872
median	11907.35
Q3	19190.68
95-th percentile	35788.924
Maximum	58886.473
Range	58886.473
Interquartile range (IQR)	12575.893

Descriptive statistics

Standard deviation	10492.53
Coefficient of variation (CV)	0.72687798
Kurtosis	1.5938309
Mean	14435.064
Median Absolute Deviation (MAD)	5937.1769
Skewness	1.261679
Sum	57061809
Variance	1.1009319 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14288.76169	8	0.2%
11907.34732	7	0.2%
12029.45	7	0.2%
13148.13786	7	0.2%
11600.98	6	0.2%
14288.77	5	0.1%
13263.96	5	0.1%
11726.32	5	0.1%
9011.557494	5	0.1%
10956.77596	5	0.1%
Other values (3700)	3893	98.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	0.1%
91.39	1	< 0.1%
151.8	1	< 0.1%
165.37	1	< 0.1%
203.55	1	< 0.1%
258.46	1	< 0.1%
262.7	1	< 0.1%
309.36	1	< 0.1%
328.01	1	< 0.1%
331.83	1	< 0.1%

Value	Count	Frequency (%)
58886.47343	1	< 0.1%
58133.3199	1	< 0.1%
58090.95207	1	< 0.1%
58071.19982	1	< 0.1%
58071.19977	1	< 0.1%
57997.27995	1	< 0.1%
57143.25996	1	< 0.1%
57117.89995	1	< 0.1%
56681.8859	1	< 0.1%
56681.88585	1	< 0.1%

Auto

Heatmap
Table

	Loan Amnt	Funded amnt inv	Int Rate	INSTALLMENT	Annual Inc	DTI	Delinq 2Yrs	Inq Last 6Mths	Revol Bal	Total Paymnt	Gender	TERM	GRADE	Sub Grade	Home Ownership	Verification Status	Loan Writeoff	PURPOSE	Add State	Pub Rec
Loan Amnt	1.000	0.995	0.311	0.960	0.439	0.045	-0.039	-0.001	0.435	0.875	0.000	0.517	0.171	0.166	0.135	0.365	0.083	0.120	0.035	0.065
Funded amnt inv	0.995	1.000	0.302	0.969	0.437	0.044	-0.041	0.004	0.433	0.878	0.000	0.493	0.165	0.160	0.131	0.355	0.086	0.120	0.033	0.070
Int Rate	0.311	0.302	1.000	0.274	0.114	0.114	0.130	0.214	0.180	0.257	0.025	0.585	0.902	0.996	0.082	0.185	0.227	0.052	0.024	0.055
INSTALLMENT	0.960	0.969	0.274	1.000	0.439	0.037	-0.030	0.013	0.432	0.849	0.000	0.310	0.176	0.172	0.106	0.321	0.071	0.111	0.008	0.068
Annual Inc	0.439	0.437	0.114	0.439	1.000	-0.180	0.066	0.024	0.394	0.409	0.000	0.132	0.070	0.077	0.197	0.151	0.053	0.071	0.000	0.000
DTI	0.045	0.044	0.114	0.037	-0.180	1.000	-0.052	0.039	0.289	0.032	0.000	0.070	0.074	0.081	0.051	0.130	0.072	0.086	0.010	0.021
Delinq 2Yrs	-0.039	-0.041	0.130	-0.030	0.066	-0.052	1.000	-0.024	-0.102	-0.035	0.037	0.025	0.069	0.102	0.022	0.028	0.042	0.036	0.023	0.000
Inq Last 6Mths	-0.001	0.004	0.214	0.013	0.024	0.039	-0.024	1.000	0.002	-0.017	0.000	0.060	0.115	0.126	0.061	0.000	0.066	0.066	0.088	0.000
Revol Bal	0.435	0.433	0.180	0.432	0.394	0.289	-0.102	0.002	1.000	0.399	0.038	0.178	0.062	0.057	0.149	0.170	0.013	0.053	0.000	0.054
Total Paymnt	0.875	0.878	0.257	0.849	0.409	0.032	-0.035	-0.017	0.399	1.000	0.042	0.447	0.173	0.185	0.113	0.324	0.287	0.102	0.030	0.112
Gender	0.000	0.000	0.025	0.000	0.000	0.000	0.037	0.000	0.038	0.042	1.000	0.000	0.008	0.000	0.012	0.017	0.000	0.000	0.035	0.000
TERM	0.517	0.493	0.585	0.310	0.132	0.070	0.025	0.060	0.178	0.447	0.000	1.000	0.561	0.598	0.120	0.315	0.188	0.168	0.072	0.000
GRADE	0.171	0.165	0.902	0.176	0.070	0.074	0.069	0.115	0.062	0.173	0.008	0.561	1.000	0.996	0.074	0.181	0.221	0.051	0.015	0.053
Sub Grade	0.166	0.160	0.996	0.172	0.077	0.081	0.102	0.126	0.057	0.185	0.000	0.598	0.996	1.000	0.094	0.187	0.239	0.042	0.000	0.070
Home Ownership	0.135	0.131	0.082	0.106	0.197	0.051	0.022	0.061	0.149	0.113	0.012	0.120	0.074	0.094	1.000	0.089	0.041	0.157	0.195	0.000
Verification Status	0.365	0.355	0.185	0.321	0.151	0.130	0.028	0.000	0.170	0.324	0.017	0.315	0.181	0.187	0.089	1.000	0.034	0.112	0.052	0.000
Loan Writeoff	0.083	0.086	0.227	0.071	0.053	0.072	0.042	0.066	0.013	0.287	0.000	0.188	0.221	0.239	0.041	0.034	1.000	0.081	0.000	0.013
PURPOSE	0.120	0.120	0.052	0.111	0.071	0.086	0.036	0.066	0.053	0.102	0.000	0.168	0.051	0.042	0.157	0.112	0.081	1.000	0.014	0.027
Add State	0.035	0.033	0.024	0.008	0.000	0.010	0.023	0.088	0.000	0.030	0.035	0.072	0.015	0.000	0.195	0.052	0.000	0.014	1.000	0.072
Pub Rec	0.065	0.070	0.055	0.068	0.000	0.021	0.000	0.000	0.054	0.112	0.000	0.000	0.053	0.070	0.000	0.000	0.013	0.027	0.072	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Name	Email ID	Gender	Dt_Applied	University	Loan Amnt	Funded amnt inv	TERM	Int Rate	INSTALLMENT	GRADE	Sub Grade	Home Ownership	Annual Inc	Verification Status	Loan Writeoff	PURPOSE	Zip Code	Add State	DTI	Inq Last 6Mths	Revol Bal	Total Paymnt
0	Calley Giron	cgiron0@ehow.com	Female	01/01/81	Warner Southern College	5000	4975.0	36 months	0.107	162.87	B	B2	RENT	24000.0	Verified	0	credit_card	860xx	AZ	27.65	1	13648	5863.155187
1	Linus Stud	lstud1@washington.edu	Male	02/01/81	Shri Lal Bahadur Shastri Rashtriya Sanskrit Vidyapeetha	2500	2500.0	60 months	0.153	59.83	C	C4	RENT	30000.0	Source Verified	1	car	309xx	GA	1.00	5	1687	1014.530000
2	Lorelle Ambage	lambage2@wix.com	Female	03/01/81	Technische Universität Bergakademie Freiberg	2400	2400.0	36 months	0.160	84.33	C	C5	RENT	12252.0	Not Verified	0	small_business	606xx	IL	8.72	2	2956	3005.666844
3	Anna-diane Larrat	alarrat3@economist.com	Female	04/01/81	Divine Word College of Legazpi	10000	10000.0	36 months	0.135	339.31	C	C1	RENT	49200.0	Source Verified	0	other	917xx	CA	20.00	1	5598	12231.890000
4	Gill Ruske	NaN	Female	05/01/81	East China Jiao Tong University	3000	3000.0	60 months	0.127	67.79	B	B5	RENT	80000.0	Source Verified	0	other	972xx	OR	17.94	0	27783	4066.908161
5	Evelyn MacFaul	emacfaul5@theatlantic.com	Female	06/01/81	Ahmedabad University	5000	5000.0	36 months	0.079	156.46	A	A4	RENT	36000.0	Source Verified	0	wedding	852xx	AZ	11.20	3	7963	5632.210000
6	Ainslie Rainard	arainard6@virginia.edu	Female	07/01/81	NaN	7000	7000.0	60 months	0.160	170.08	C	C5	RENT	47004.0	Not Verified	0	debt_consolidation	280xx	NC	23.51	1	17726	10137.840010
7	Emmott Hamby	ehamby7@prnewswire.com	Male	08/01/81	Institute of Business Management	3000	3000.0	36 months	0.186	109.43	E	E1	RENT	48000.0	Source Verified	0	car	900xx	CA	5.35	2	8221	3939.135294
8	Shem Toomer	stoomer8@home.pl	Male	09/01/81	Osaka University of Education	5600	5600.0	60 months	0.213	152.39	F	F2	OWN	40000.0	Source Verified	1	small_business	958xx	CA	5.55	2	5210	647.500000
9	Giana Aberhart	gaberhart9@mozilla.com	Female	10/01/81	American Public University	5375	5350.0	60 months	0.127	121.45	B	B5	RENT	15000.0	Verified	1	other	774xx	TX	18.08	0	9279	1484.590000

	Name	Email ID	Gender	Dt_Applied	University	Loan Amnt	Funded amnt inv	TERM	Int Rate	INSTALLMENT	GRADE	Sub Grade	Home Ownership	Annual Inc	Verification Status	Loan Writeoff	PURPOSE	Zip Code	Add State	DTI	Delinq 2Yrs	Inq Last 6Mths	Revol Bal	Total Paymnt
3943	Merla Thebe	mthebeq7@cocolog-nifty.com	Female	21/10/91	North Eastern Hill University	6000	6000.0	36 months	0.163	211.81	D	D1	RENT	39564.0	Verified	1	debt_consolidation	606xx	IL	23.78	2	1	2028	3388.960000
3944	Marcellina Dinneges	mdinnegesq8@infoseek.co.jp	Female	22/10/91	Universidade Católica de Santos	2400	2400.0	36 months	0.117	79.39	B	B3	RENT	39800.0	Not Verified	0	other	303xx	GA	14.32	0	0	15497	2836.660516
3945	Way Symonds	wsymondsq9@mlb.com	Male	23/10/91	American International University West Africa	25000	25000.0	60 months	0.183	638.25	D	D5	MORTGAGE	156000.0	Source Verified	0	house	944xx	CA	5.85	0	0	10709	37936.750000
3946	Ailene Matejka	NaN	Female	24/10/91	Kaya University	20000	20000.0	36 months	0.117	661.52	B	B3	RENT	80700.0	Verified	0	debt_consolidation	946xx	CA	13.67	0	1	7211	23406.523000
3947	Samuel Overel	NaN	Male	25/10/91	Northwestern University	12000	12000.0	60 months	0.183	306.36	D	D5	MORTGAGE	34000.0	Not Verified	1	debt_consolidation	177xx	PA	12.56	0	0	6114	9667.950000
3948	Corbie Creeboe	ccreeboeqc@sitemeter.com	Male	26/10/91	Shaheed Rajaei Teacher Training University	12000	12000.0	36 months	0.135	407.17	C	C1	RENT	125000.0	Source Verified	0	wedding	086xx	NJ	13.18	0	1	46286	14657.917650
3949	Bobbe Ochterlonie	bochterlonieqd@ezinearticles.com	Female	27/10/91	Dhofar University	15000	15000.0	36 months	0.124	501.23	B	B4	RENT	72000.0	Verified	0	debt_consolidation	104xx	NY	7.47	0	1	12147	16729.253640
3950	Corella Esposito	cespositoqe@macromedia.com	Female	28/10/91	University of Jan Evangelista Purkyne	12000	12000.0	36 months	0.060	365.23	A	A1	OWN	48000.0	Not Verified	0	debt_consolidation	365xx	AL	23.35	0	0	22385	13148.137860
3951	Prince Dibdin	pdibdinqf@businessinsider.com	Male	29/10/91	College in Sládkovičovo	15000	15000.0	60 months	0.160	364.46	C	C5	RENT	50000.0	Verified	1	debt_consolidation	907xx	CA	18.26	0	1	9799	10883.540000
3952	Georgette Warratt	gwarrattqg@java.com	Female	30/10/91	Technical University of Lublin	15000	14975.0	60 months	0.153	358.98	C	C4	MORTGAGE	32976.0	Not Verified	1	debt_consolidation	177xx	PA	17.90	0	1	7956	11704.260000

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Control

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Initial Punctuation

Final Punctuation

Most occurring scripts